Radar Device Correlation Matrix Addition Prohibition Unit
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Solution Overview
Problem
Existing radar devices face challenges in accurately calculating target directions and numbers due to noise, offset voltages, and overlapping peak frequencies caused by multiple targets with different distances and velocities, leading to incorrect correlation matrix generation and target misidentification.
Innovation Solution
A radar device that prohibits the addition of correlation matrices generated from peak frequencies within specific conditions, using a correlation matrix addition prohibition unit to only combine matrices from peak frequencies that do not satisfy these conditions, thereby ensuring accurate target direction and number calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the correlation matrix is generated by adding correlation matrices from multiple peak frequency spectra to increase the number of snapshots, then the temporal averaging effect is improved, but the direction calculation accuracy deteriorates when peak frequencies overlap or fall within the given frequency range
Solution Approach 1:
The patent segments the correlation matrix generation process by dividing peak frequency spectra into two categories: those within the given frequency range (first frequency range) and those outside it (second frequency range). Only correlation matrices from the second frequency range are added to achieve temporal averaging, while excluding those from the first frequency range that would cause overlapping or noise interference. This segmentation resolves the contradiction by selectively applying temporal averaging only where it improves reliability without compromising precision.
Solution Approach 2:
The patent applies different quality standards to different frequency ranges. Correlation matrices from peak frequencies within the given range are excluded due to their degraded quality (noise interference, overlapping), while those from frequencies outside the range are included with high quality. This local quality differentiation ensures that only reliable correlation matrices contribute to the summed correlation matrix, maintaining both reliability and precision.
2Quantity of substance
If correlation matrices from overlapping peak frequencies are added together, then the number of snapshots is increased, but the number of targets is miscalculated and directions cannot be accurately calculated
Solution Approach 1:
The patent converts the harmful effect of overlapping peak frequencies (which would cause miscalculation) into a beneficial filtering mechanism. By identifying and excluding correlation matrices from overlapping frequencies, the system prevents target number miscalculation while still accumulating sufficient snapshots from non-overlapping frequencies. This transforms the potential harm of frequency overlap into a benefit by using it as a criterion for selective inclusion.
3Productivity
If all correlation matrices are added regardless of peak frequency conditions, then the processing speed is maintained, but the target detection accuracy deteriorates due to noise and overlapping frequencies
Solution Approach 1:
The patent performs preliminary action by pre-identifying peak frequencies and determining which ones fall within the given frequency range before generating correlation matrices. This preliminary classification allows the system to efficiently exclude problematic correlation matrices without requiring complex post-processing or recalculation, thus maintaining processing speed while improving target detection accuracy through selective inclusion.
Data Source
AI summary
Provided is a radar device capable of accurately calculating directions and the number of targets. A direction calculation unit includes a correlation matrix addition prohibition unit that prohibits, when a peak frequency in a plurality of modulation periods of a target is in the vicinity of 0, addition of a correlation matrix generated from a peak frequency spectrum having the peak frequency in the vicinity of 0, and calculates the direction of the target on the basis of a summed correlation matrix in which correlation matrices generated from peak frequency spectra having peak frequencies out of the vicinity of 0.